class ipSWhaar

This class is designed to classify a subwindow using a cascade of haar-like classifiers

Inheritance:


Public Fields

[more]Sequence* seq_input
[more]int* n_rejections_stage
[more]real* ii
integral image
[more]real* ii2
integral image square
[more]ipHaar*** masks
all Haar-like masks
[more]Machine*** machines
all classifiers of the cascade
[more]int n_stages
number of stages in the cascade
[more]real** weights
weights of each classifiers of the cascade
[more]int* n_trainers
number of classifiers per stage
[more]real* thresholds
thresholds for each stage

Public Methods

[more] ipSWhaar(real* integralimage_, real* integralimage2_, int width_image_, int height_image_, int width_pattern_, int height_pattern_, const char* model_filename_, real threshold_, bool verbose = false, bool realstump = false)
[more]virtual void process(Sequence* seq_in)
[more]virtual void stat(void)
[more]virtual ~ipSWhaar()


Inherited from ipSubWindow:

Public Fields

oint width_pattern
oint height_pattern
oint width_image
oint height_image
oshort int x_window
oshort int y_window
oshort int w_window
oshort int h_window
oshort int real_x_window
oshort int real_y_window
oreal threshold
obool ispattern
oint view

Public Methods

ovirtual void resetWindowX(int x_window_)
ovirtual void resetWindowY(int y_window_)
ovirtual void resetWindowSize(int w_window_, int h_window_)
oinline bool isPattern()
ovirtual int getSubWindowMin()


Inherited from ipCore:

Public Fields

output field

input/output image coding field

Public Methods

constructor and destructor

initialization and processing

accessing and modifying output


Documentation

This class is designed to classify a subwindow using a cascade of haar-like classifiers

This class should be used with an MultiScaleWindowScan.

oSequence* seq_input

oint* n_rejections_stage

oreal* ii
integral image

oreal* ii2
integral image square

oipHaar*** masks
all Haar-like masks

oMachine*** machines
all classifiers of the cascade

oint n_stages
number of stages in the cascade

oreal** weights
weights of each classifiers of the cascade

oint* n_trainers
number of classifiers per stage

oreal* thresholds
thresholds for each stage

o ipSWhaar(real* integralimage_, real* integralimage2_, int width_image_, int height_image_, int width_pattern_, int height_pattern_, const char* model_filename_, real threshold_, bool verbose = false, bool realstump = false)

ovirtual void process(Sequence* seq_in)

ovirtual void stat(void)

ovirtual ~ipSWhaar()


This class has no child classes.
Author:
Sebastien Marcel (marcel@idiap.ch) Yann Rodriguez (yann.rodriguez@idiap.ch)
Version:
2.0 Wed 28 Jun 2006 05:19:36 PM CEST
Since:
1.0

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